Selected Papers from Automation 2019

A special issue of Inventions (ISSN 2411-5134). This special issue belongs to the section "Inventions and Innovation in Electrical Engineering/Energy/Communications".

Deadline for manuscript submissions: closed (31 March 2020) | Viewed by 2703

Special Issue Editors


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Guest Editor
Department of Mechanical Engineering, National Chung Hsing University, 250 Kuo Kuang Rd., Taichung 402, Taiwan
Interests: high precision instrument design; laser engineering; smart sensors and actuators; optical device; optical measurement; metrology

E-Mail Website
Guest Editor
Department of Mechanical Engineering, National Taiwan University, Taipei 106319, Taiwan
Interests: intelligent robots; intelligent automation; intelligent welfare technologies; autonomous driving
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Special Issue Information

Dear Colleagues,

The Special Issue will select the extended papers from the 16th International Conference on Automation Technology (Automation 2019). Automation 2019 is jointly organized by the NTUST and Chinese Institute of Automation Engineers (CIAE). It provides an international platform for the Smart Automation research community to explore state-of-the-art of sciences and technologies within academic and industrial applications. Innovative/practical researches/solutions on topics (but not limited) related to the following are welcome: artificial intelligence and machine learning, embedded intelligence, sensor networks, signal and image processing, machine vision, internet of things, industrial Informatics, automatic optical inspection, autonomous vehicles (land, sea, and air ), human machine /robot interaction, intelligent manufacturing systems, robots and systems, mechatronics, opto-mechatronics, industry 4.0 implementation, advanced process control, scheduling and dispatching, automated material handling systems, micro/nano systems, system integration, CAD/CAM/CIM, e-manufacturing, e-diagnostics, e-factory, service automation, intellectual property and knowledge management, biotechnology and biomedical engineering, smart grid, power system and renewable energy.

http://automation2019.ntust.edu.tw/

Prof. Dr. Chien-Hung Liu
Prof. Dr. Chung-Hsien Kuo
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Inventions is an international peer-reviewed open access semimonthly journal published by MDPI.

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Keywords

  • Smart automation
  • Artificial intelligence
  • Robotics
  • Automatic measurement and control technology
  • Industry 4.0
  • Internet of things
  • Intelligent manufacturing systems
  • Mechatronics and opto-mechatronics
  • Micro/precision/ultraprecision manufacturing systems
  • MEMS, nanotechnology and sensor networks
  • Machinery and mechanical systems for automation

Published Papers (1 paper)

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Research

12 pages, 6089 KiB  
Article
Analysis of Firefly–Fuzzy Hybrid Algorithm for Navigation of Quad-Rotor Unmanned Aerial Vehicle
by Brijesh Patel and Bhumeshwar Patle
Inventions 2020, 5(3), 48; https://0-doi-org.brum.beds.ac.uk/10.3390/inventions5030048 - 16 Sep 2020
Cited by 17 | Viewed by 2391
Abstract
In the present scenario for the development of the unmanned aerial vehicle (UAV), artificial intelligence plays an important role in path planning and obstacle detection. Due to different environments, it is always a task to achieve the proper moment for achieving the target [...] Read more.
In the present scenario for the development of the unmanned aerial vehicle (UAV), artificial intelligence plays an important role in path planning and obstacle detection. Due to different environments, it is always a task to achieve the proper moment for achieving the target goal while avoiding obstacles with minimum human interference. To achieve the goal with the avoidance of obstacles, individual optimization techniques with metaheuristic algorithms such as fuzzy, particle swarm optimization (PSO), etc. were implemented in various configurations. However, the optimal solution was not attained. Thus, in order to achieve an optimal solution, a hybrid model was developed by using the firefly algorithm and the fuzzy algorithm, establishing multiple features of the individual controller. The path and time optimization were achieved by a standalone controller and a hybrid firefly–fuzzy controller in different conditions, whereby the results of the controller were validated by simulation and experimental results, highlighting the advantages of the hybrid controller over the single controller. Full article
(This article belongs to the Special Issue Selected Papers from Automation 2019)
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